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Updated repo of text transformation prompts (raw STT transcripts -> *). New repo for capturing via automations.

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danielrosehill/Text-Transformation-Prompt-Library

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Text Transformation Prompt Library

A comprehensive collection of text transformation prompts for reformatting dictated text into various formats, styles, and structures.

Quick Links

Markdown Index JSON Index

Repository Structure

/prompts/

The main collection of text transformation prompts.

  • /prompts/md/ - Markdown format prompts
  • /prompts/json/ - JSON format equivalents of the markdown prompts

Prompt Structure

Each prompt follows a standardized markdown format:

# [Prompt Name]

## Name
[Descriptive name]

## Description
[Optional description]

## System Prompt Text

[The actual prompt text that will be used by AI systems]


## Expected Output Format
[Optional format specifications]

## Delivers Structured Output?
[Yes/No indicator]

Usage

For AI Systems

Use the prompts in the /prompts/md/ or /prompts/json/ folders as system prompts for text transformation tasks.

Updating Indexes

To update both the JSON and Markdown indexes as the library grows:

python3 update_indexes.py

This script:

  1. Fixes any duplicated names in source JSON files
  2. Consolidates all JSON prompt files into prompts.json
  3. Generates a markdown index (index.md) from the consolidated JSON

Categories

The library includes prompts for:

  • Business Communication - Professional emails, meeting minutes, proposals
  • Documentation - Technical docs, process documentation, README files
  • Content Creation - Blog outlines, social media posts, newsletters
  • Task Management - To-do lists, project plans, status updates
  • Format Conversion - JSON output, HTML formatting, structured data
  • Style Transformation - Formal/casual tone, clarity improvements
  • Specialized Formats - RFPs, cover letters, testimonials

Automation

This repository uses automated workflows to:

  • Process prompts from /to-integrate/ folder
  • Generate standardized markdown format
  • Create JSON equivalents
  • Maintain consistent naming and structure

Contributing

  1. Add new prompts to the /to-integrate/ folder
  2. Follow the standard markdown format
  3. Ensure prompts are practical and non-novelty focused
  4. Automation will handle integration into the main collection

File Naming Convention

Prompts are automatically named with the pattern: [descriptive_name]_[date].md

Example: business_email_270525.md

About

Updated repo of text transformation prompts (raw STT transcripts -> *). New repo for capturing via automations.

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